Top Artificial Intelligence Jobs in Germany

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

Support end-to-end video and AI-assisted content creation for organic channels: ideation, production, studio/equipment management, filming, and post-production editing, optimization and localization using GenAI and standard editing tools.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

Work with customers to integrate procurement and ERP data, build scalable ETL pipelines, configure the Tacto platform, quantify value cases, and present ROI. Support technical onboarding, develop reusable analytics and AI-native workflows, and collaborate cross-functionally to accelerate adoption and influence product evolution.

As a Senior Data Scientist, you'll build core AI capabilities, automate tax operations, implement AI architecture, and mentor junior staff.

Design, build, and maintain ELT pipelines and dbt SQL models for analytics; optimize performance, scalability, and costs; apply AI-enabled tools to improve engineering workflows; collaborate to translate requirements into production-grade data assets.

The AI Research Engineer will research and develop novel model architectures, adapt open-source models, and contribute to the technical strategy and culture of the team.

The role requires working closely with customers to design AI-powered solutions, translating business problems into technical plans, and leading solution implementation.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

As an Applied AI Engineer, you will implement AI solutions at Upvest, connecting tools to internal systems and coaching teams on AI usage.

Join Netlight as a Software Engineering Consultant. Work on diverse tech projects, define your career path, and collaborate with clients and colleagues.

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

Build and maintain enterprise web applications using .NET and Angular, participate in full SDLC, integrate AI services and APIs, leverage AI-powered development tools and LLM/RAG solutions, contribute to architecture and technical decisions, collaborate with clients and delivery teams, and ensure compliance with enterprise/regulatory standards.

Build and maintain agentic, AI-powered frontend features across Scalable's products. Work in a cross-functional Data Science & AI team to design, implement, and ship components (CLI, MCP server, agentic chat), lead technical discussions, make architecture decisions, and ensure code quality, security, testability, and scalability.

Build and scale agent runtimes, SDKs, harnesses and evals for industrial AI; improve ontology, tooling, sandboxing and observability; handle multimodal industrial data and millions of concurrent LLM requests; own AI infra and support FDEs in production.

Own and drive the UK go-to-market: coordinate Sales, Account Management and Product; manage SMB B2B accounts (solar and heat-pump installers); run demos, retention and growth activities; collect market intelligence and feedback to shape product and market strategy while supporting the team operationally.

Lead customer-facing implementations of AI-driven chatbots, voicebots, and multimodal assistants on the NICE CXone/Cognigy platform. Configure NLU/ASR/IVR, integrate CRMs and APIs, design conversational flows and personas, run workshops, support UAT and go-live, produce documentation and demos, mentor team members, and optimize post-deployment performance.

Lead deployment, debugging, benchmarking, and performance optimization of large-scale GPU training and inference workloads. Work with NVIDIA teams and external customers to diagnose cluster bottlenecks, improve efficiency, guide scaling strategies, and contribute to resiliency for Europe's Sovereign AI initiatives.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Lead end-to-end GPU-focused Kubernetes deployments from bare metal to production-ready vCluster environments. Configure and troubleshoot GPU nodes (GPU Operator, CUDA, RDMA/InfiniBand), CNI and storage (CSI, Ceph/Rook/Weka/Longhorn), validate managed K8s, produce playbooks, transfer knowledge to customers, and feed infrastructure learnings back to Product and Engineering while supporting pre-sales proofs of value.

Review, evaluate, and annotate AI-generated multilingual and multimodal content (text, images, audio, video). Perform quality checks, identify edge cases, participate in calibration and alignment, and provide feedback to improve datasets, workflows, and annotation guidelines.

Lead full-cycle enterprise sales for an Energy AI platform: engage C-level and technical stakeholders, build data-driven pipeline, refine GTM and sales playbook, run demos, negotiate and close high-value deals, provide customer feedback to Product/Engineering, and use modern tech/automations to scale revenue.

Build full-stack, user-facing AI applications for public procurement: design, implement, and deploy features using the company tech stack, integrate LLMs, own features end-to-end, improve reliability, and collaborate closely with founders and users.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.